code: def __getitem__(self, idx):
      np_rng = np.random.RandomState(seed=(self.seed + idx))
      src, tgt = super()._get_sample(idx)
      return BinarizedMemmapCrossLingualMLMAndTranslationDataset.create_sample(
          np_rng=np_rng,
          src=src,
          tgt=tgt,
          sampling_ratios=self.sampling_ratios,
          max_src_seq_length=self.max_src_seq_length,
          max_tgt_seq_length=self.max_tgt_seq_length,
          max_seq_length=self.max_seq_length,
          max_seq_length_dec=self.max_seq_length_dec,
          src_language=self.src_language,
          tgt_language=self.tgt_language,
          src_tokenizer=self.src_tokenizer,
          tgt_tokenizer=self.tgt_tokenizer,
          sep_id=self.sep_id,
          masked_lm_prob=self.masked_lm_prob,
          extreme_masked_lm_prob=self.extreme_masked_lm_prob,
          max_ngram_size=self.max_ngram_size,
          min_ngram_size=self.min_ngram_size,
          mean_ngram_size=self.mean_ngram_size,
          extreme_max_ngram_size=self.extreme_max_ngram_size,
          extreme_min_ngram_size=self.extreme_min_ngram_size,
          extreme_mean_ngram_size=self.extreme_mean_ngram_size,
          extreme_ngram_span_length_distribution=self.extreme_ngram_span_length_distribution,
          sentinel_tokens=self.sentinel_tokens,
          prefix_lm_pivot_mean=self.prefix_lm_pivot_mean,
          vocab_id_list=self.vocab_id_list,
          vocab_id_to_token_dict=self.vocab_id_to_token_dict,
          favor_long_ngrams=self.favor_long_ngrams,
          permutation=self.permutation,
          geometric_dist=self.geometric_dist,
          tokenizer_type=self.tokenizer_type,
      )
  
imports: from typing import Dict, List
  import numpy
  from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec
  from nemo.collections.nlp.data.common.sequence_to_sequence_dataset import BinarizedMemmapSequenceToSequenceDataset, TextMemmapSequenceToSequenceDataset
  from nemo.collections.nlp.data.language_modeling.megatron.bert_dataset import build_training_sample
  from nemo.collections.nlp.data.language_modeling.megatron.length_distribution_type import LengthDistribution
  from nemo.collections.nlp.data.language_modeling.megatron.t5_dataset import T5Dataset
  from nemo.collections.nlp.data.language_modeling.megatron.ul2_dataset import UL2Dataset
label_desc: Use image node_id 3 for calling the TextMemmapCrossLingualMLMAndTranslationDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: BinarizedMemmapCrossLingualMLMAndTranslationDataset